Skip to main content
You can watch recordings of the Spring 2022 lecture videos online.

You can watch recordings of the Fall 2020 lecture videos online. Recordings are saved on Panopto and require a UNI login.

The lecture schedule will be updated as the term progresses.

Pre-course

Make sure to fill out the pre-course survey that is available on Slack.

Make sure you are registered for the course Gradescope, JupyterHub, and EdStem.

Computation: Python & Tables

Date Topic Reading Assignment
Tue, Jan 18, 2022 Lecture 1
Course Introduction
Correlation & Causation [slides]
Chapter 1 - What is Data Science?
Chapter 2 - Causality and Experiments
Jeannette M. Wing, Computational Thinking
Lab 0 - Python Intro (Due Mon, Jan 24, 2022)
Thu, Jan 20, 2022 Lecture 2
Data Types, Expressions [slides]
[empty notebook]
[completed notebook]
Chapter 3.1 - 3.3: Programming in Python
Chapter 4: Data Types
HW 0 - Causality and Expressions (Due Thu, Jan 27, 2022)
Tue, Jan 25, 2022 Lecture 3
Tables, Arrays, & Sequences [slides]
[empty notebook]
[completed notebook]
Chapter 3.4: Introduction to Tables
Chapter 5: Sequences
Lab 1 - Table operations (Due Mon, Jan 31, 2022)
Thu, Jan 27, 2022 Lecture 4
More Tables [slides]
[empty notebook]
[completed notebook]
Chapter 6: Tables
Fri, Jan 28, 2022 Last Day to Register

Exploration

Date Topic Reading Assignment
Tue, Feb 1, 2022 Lecture 5
Visualization [slides]
[empty notebook]
[completed notebook]
Chapter 7 (intro): Visualization
Chapter 7.1 Categorical Distributions
HW 1 - Arrays and Tables (Due Mon, Feb 7, 2022)
Lab 2 - Data Types and Arrays (Due Mon, Feb 7, 2022)
Thu, Feb 3, 2022 Lecture 6
Histograms [slides]
[empty notebook]
Chapter 7.2 Numerical Distributions
Chapter 7.3 Overlaid Graphs
Tue, Feb 8, 2022 Lecture 7
Functions & Apply, Group, Pivot

No Lecture
Chapter 8. Functions and Tables
HW 2 - Table Manipulation and Visualization (Due Mon, Feb 14, 2022)
Lab 3 - Functions and Visualizations (Due Mon, Feb 14, 2022)
Thu, Feb 10, 2022 Lecture 7
Pivot, Joins, & Comparisons
Functions & Apply [slides]
[empty notebook]
[completed notebook]
Chapter 8. Functions and Tables
Tue, Feb 15, 2022 Lecture 8
Control Statements (If, For) & Randomness Group, Pivot, Join [slides]
[empty notebook]
[completed notebook]
HW 3 - Functions, Histograms, and Groups (Due Mon, Feb 21, 2022)
Thu, Feb 17, 2022 Lecture 9
Comparisons & Control Statements [slides]
[empty notebook]
Chapter 9 Randomness (9, 9.1, 9.2, 9.3)
Project 1 (Due Thu, Mar 3, 2022)

Inference

Date Topic Reading Assignment
Tue, Feb 22, 2022 Lecture 10
Control Statements (loops)
Randomess [slides]
[empty notebook]
[completed notebook]
Chapter 9.2 & 9.3
HW 4 - Applying Functions and Iteration (Due Tue, Mar 1, 2022)
Lab 4 - Simulations (Due Mon, Feb 28, 2022)
Tue, Feb 22, 2022 Last day to drop
Thu, Feb 24, 2022 Lecture 11
Monty Hall
Probabilities

Simulations [slides]
[empty notebook]
[completed notebook]
Chapter 9.3 - Simulation
"Chapter 9.4 - The Monty Hall Problem"
"Chapter 9.5 - Finding Probabilites"
Tue, Mar 1, 2022 Cancelled class
Thu, Mar 3, 2022 Lecture 12
Monty Hall
Probabilities [slides]
[completed notebook]
Chapter 9.4 - The Monty Hall Problem
Chapter 9.5 - Finding Probabilites
HW 5 - Probability, Simulation, Estimation,
and Assessing Models
(Due Fri, Mar 11, 2022)
Lab 5 - Examining the Therapeutic Touch (Due Fri, Mar 11, 2022)
Tue, Mar 8, 2022 Lecture 13
Sampling, & Distributions [slides]
[empty notebook]
[completed notebook]
Chapter 10 - Sampling and Empirical Distributions
Chapter 11.1 - Assessing a Model
Thu, Mar 10, 2022 Lecture 14
Statistic, Hypothesis Testing [slides]
[empty notebook]
[completed notebook]
Chapter 10.3 - Empirical Distribution of a Statistic
Chapter 11.1 - Testing Hypotheses
Tue, Mar 15, 2022 Spring Break
Thu, Mar 17, 2022 Spring Break
Tue, Mar 22, 2022 Lecture 15
Comparing Distributions & Measuring Uncertainty [slides]
[empty notebook]
[completed notebook]
Chapter 11.2 - Multiple Categories
Chapter 11.3 - Decisions and Uncertainty
Chapter 11.4 - Error Probabilities
HW 6 - Testing Hypotheses (Due Thu, Mar 31, 2022)
Lab 6 - Inference and the Death Penalty (Due Mon, Mar 28, 2022)
Thu, Mar 24, 2022 Lecture 16
A/B Testing [slides]
[empty notebook]
[completed notebook]
Chapter 12 - Comparing Two Samples
Tue, Mar 29, 2022 Lecture 17
Causality and Estimation Variability [slides]
[empty notebook]
[completed notebook]
Chapter 13 - 13.1 - Estimation
HW 7 - Confidence Intervals, The Bootstrap,
and The Central Limit Theorem
(Due Thu, Apr 7, 2022)
Thu, Mar 31, 2022 Lecture 18
Bootstrap
Confidence Interval [slides]
[empty notebook]
[completed notebook]
Chapter 13 - Boostrap
Project 2 (released 04/04) (Due Mon, Apr 18, 2022)

Prediction

Date Topic Reading Assignment
Tue, Apr 5, 2022 Lecture 19
Confidence Intervals
Center and Spread
Standard Deviations and Normal Distributions [slides]
[empty notebook]
[completed notebook]
Chapter 13.4. Using Confidence Intervals
Chapter 14. Why the Mean Matter
HW 8 - Linear Regression (Due Thu, Apr 14, 2022)
Thu, Apr 7, 2022 Lecture 20
Correlation
Nearest Neighbor Regression [slides]
[empty notebook]
[completed notebook]
Chapter 15. Prediction (introduction)
Chapter 15.1 Correlation
Tue, Apr 12, 2022 Lecture 21
Linear Regression
Least Squares & Residuals [slides]
[empty notebook]
[completed notebook]
Chapter 15. Prediction (15.2 - 15.6)
HW 9 - Regression Inference (Due Mon, Apr 25, 2022)
Lab 8 - Regression (Due Mon, Apr 18, 2022)
Thu, Apr 14, 2022 Lecture 22
Regression Inference [slides]
[empty notebook]
[completed notebook]
Chapter 16. Inference for Regression
Project 3: Movie Classification (Due Mon, May 2, 2022)
Tue, Apr 19, 2022 Lecture 23
Regression Inference [slides]
[empty notebook]
[completed notebook]
HW 10 - Classification (Due Thu, Apr 28, 2022)
Thu, Apr 21, 2022 Lecture 24
Classification [slides]
[empty notebook]
[completed notebook]
Chapter 17 - Classification
Chapter 17.1 - Nearest Neighbors
Chapter 17.2 - Training and Testing
Chapter 17.3 - Rows of Tables
Tue, Apr 26, 2022 Lecture 25
Final Project
Classification II [slides]
[completed notebook]
Chapter 17 - Classification
Thu, Apr 28, 2022 Lecture 26
Review [slides]
[empty notebook]